Collaborative Statistics 2nd edition

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• Chapter 1: Sampling and Data
  • 1.1: Sampling and Data
  • 1.2: Statistics
  • 1.3: Probability
  • 1.4: Key Terms
  • 1.5: Data
  • 1.6: Sampling
  • 1.7: Variation
  • 1.8: Answers and Rounding Off
  • 1.9: Frequency
  • 1.10: Summary
  • 1.11: Practice: Sampling and Data
  • 1.12: Homework
  • 1.13: Lab 1: Data Collection
  • 1.14: Lab 2: Sampling Experiment
  
  
• Chapter 2: Descriptive Statistics
  • 2.1: Descriptive Statistics
  • 2.2: Displaying Data
  • 2.3: Stem and Leaf Graphs (Stemplots), Line Graphs and Bar Graphs
  • 2.4: Histograms
  • 2.5: Box Plots
  • 2.6: Measures of the Location of the Data
  • 2.7: Measures of the Center of the Data
  • 2.8: Skewness and the Mean, Median, and Mode
  • 2.9: Measures of the Spread of the Data
  • 2.10: Summary of Formulas
  • 2.11: Practice 1: Center of the Data
  • 2.12: Practice 2: Spread of the Data
  • 2.13: Homework
  • 2.14: Lab: Descriptive Statistics
  
  
• Chapter 3: Probability Topics
  • 3.1: Probability Topics
  • 3.2: Terminology
  • 3.3: Independent and Mutually Exclusive Events
  • 3.4: Two Basic Rules of Probability
  • 3.5: Contingency Tables
  • 3.6: Venn Diagrams (optional)
  • 3.7: Tree Diagrams (optional)
  • 3.8: Summary of Formulas
  • 3.9: Practice 1: Contingency Tables
  • 3.10: Practice 2: Calculating Probabilities
  • 3.11: Homework
  • 3.12: Review
  • 3.13: Lab: Probability Topics
  
  
• Chapter 4: Discrete Random Variables
  • 4.1: Discrete Random Variables
  • 4.2: Probability Distribution Function (PDF) for a Discrete Random Variable
  • 4.3: Mean or Expected Value and Standard Deviation
  • 4.4: Common Discrete Probability Distribution Functions
  • 4.5: Binomial
  • 4.6: Geometric (optional)
  • 4.7: Hypergeometric (optional)
  • 4.8: Poisson
  • 4.9: Summary of Functions
  • 4.10: Practice 1: Discrete Distribution
  • 4.11: Practice 2: Binomial Distribution
  • 4.12: Practice 3: Poisson Distribution
  • 4.13: Practice 4: Geometric Distribution
  • 4.14: Practice 5: Hypergeometric Distribution
  • 4.15: Homework
  • 4.16: Review
  • 4.17: Lab 1: Discrete Distribution (Playing Card Experiment)
  • 4.18: Lab 2: Discrete Distribution (Lucky Dice Experiment)
  
  
• Chapter 5: Continuous Random Variables
  • 5.1: Continuous Random Variables
  • 5.2: Continuous Probability Functions
  • 5.3: The Uniform Distribution
  • 5.4: The Exponential Distribution
  • 5.5: Summary of the Uniform and Exponential Probability Distributions
  • 5.6: Practice 1: Uniform Distribution
  • 5.7: Practice 2: Exponential Distribution
  • 5.8: Homework
  • 5.9: Review
  • 5.10: Lab: Continuous Distribution
  
  
• Chapter 6: The Normal Distribution
  • 6.1: The Normal Distribution
  • 6.2: The Standard Normal Distribution
  • 6.3: Z-Scores
  • 6.4: Areas to the Left and Right of x
  • 6.5: Calculations of Probabilities
  • 6.6: Summary of Formulas
  • 6.7: Practice: The Normal Distribution
  • 6.8: Homework
  • 6.9: Review
  • 6.10: Lab 1: Normal Distribution (Lap Times)
  • 6.11: Lab 2: Normal Distribution (Pinkie Length)
  
  
• Chapter 7: The Central Limit Theorem
  • 7.1: The Central Limit Theorem
  • 7.2: The Central Limit Theorem for Sample Means (Averages)
  • 7.3: The Central Limit Theorem for Sums
  • 7.4: Using the Central Limit Theorem
  • 7.5: Summary of Formulas
  • 7.6: Practice: The Central Limit Theorem
  • 7.7: Homework
  • 7.8: Review
  • 7.9: Lab 1: Central Limit Theorem (Pocket Change)
  • 7.10: Lab 2: Central Limit Theorem (Cookie Recipes)
  
  
• Chapter 8: Confidence Intervals
  • 8.1: Confidence Intervals
  • 8.2: Confidence Interval, Single Population Mean, Population Standard Deviation Known, Normal
  • 8.3: Confidence Interval, Single Population Mean, Standard Deviation Unknown, Student-T
  • 8.4: Confidence Interval for a Population Proportion
  • 8.5: Summary of Formulas
  • 8.6: Practice 1: Confidence Intervals for Averages, Known Population Standard Deviation
  • 8.7: Practice 2: Confidence Intervals for Averages, Unknown Population Standard Deviation
  • 8.8: Practice 3: Confidence Intervals for Proportions
  • 8.9: Homework
  • 8.10: Review
  • 8.11: Lab 1: Confidence Interval (Home Costs)
  • 8.12: Lab 2: Confidence Interval (Place of Birth)
  • 8.13: Lab 3: Confidence Interval (Women's Heights)
  
  
• Chapter 9: Hypothesis Testing: Single Mean and Single Proportion
  • 9.1: Hypothesis Testing: Single Mean and Single Proportion
  • 9.2: Null and Alternate Hypotheses
  • 9.3: Outcomes and the Type I and Type II Errors
  • 9.4: Distribution Needed for Hypothesis Testing
  • 9.5: Assumption
  • 9.6: Rare Events
  • 9.7: Using the Sample to Support One of the Hypotheses
  • 9.8: Decision and Conclusion
  • 9.9: Additional Information
  • 9.10: Summary of the Hypothesis Test
  • 9.11: Examples
  • 9.12: Summary of Formulas
  • 9.13: Practice 1: Single Mean, Known Population Standard Deviation
  • 9.14: Practice 2: Single Mean, Unknown Population Standard Deviation
  • 9.15: Practice 3: Single Proportion
  • 9.16: Homework
  • 9.17: Review
  • 9.18: Lab: Hypothesis Testing of a Single Mean and Single Proportion
  
  
• Chapter 10: Hypothesis Testing: Two Means, Paired Data, Two Proportions
  • 10.1: Hypothesis Testing: Two Population Means and Two Population Proportions
  • 10.2: Comparing Two Independent Population Means with Unknown Population Standard Deviations
  • 10.3: Comparing Two Independent Population Means with Known Population Standard Deviations
  • 10.4: Comparing Two Independent Population Proportions
  • 10.5: Matched or Paired Samples
  • 10.6: Summary of Types of Hypothesis Tests
  • 10.7: Practice 1: Hypothesis Testing for Two Proportions
  • 10.8: Practice 2: Hypothesis Testing for Two Averages
  • 10.9: Homework
  • 10.10: Review
  • 10.11: Lab: Hypothesis Testing for Two Means and Two Proportions
  
  
• Chapter 11: The Chi-Square Distribution
  • 11.1: The Chi-Square Distribution
  • 11.2: Notation
  • 11.3: Facts About the Chi-Square Distribution
  • 11.4: Goodness-of-Fit Test
  • 11.5: Test of Independence
  • 11.6: Test of a Single Variance (optional)
  • 11.7: Summary of Formulas
  • 11.8: Practice 1: Goodness-of-Fit Test
  • 11.9: Practice 2: Contingency Tables
  • 11.10: Practice 3: Test of a Single Variance
  • 11.11: Homework
  • 11.12: Review
  • 11.13: Lab 1: Chi-Square Goodness-of-Fit
  • 11.14: Lab 2: Chi-Square Test for Independence
  
  
• Chapter 12: Linear Regression and Correlation
  • 12.1: Linear Regression and Correlation
  • 12.2: Linear Equations
  • 12.3: Slope and Y-Intercept of a Linear Equation
  • 12.4: Scatter Plots
  • 12.5: The Regression Equation
  • 12.6: Correlation Coefficient and the Coefficient of Determination
  • 12.7: Testing the Significance of the Correlation Coefficient
  • 12.8: Prediction
  • 12.9: Outliers
  • 12.10: 95% Critical Values of the Sample Correlation Coefficient Table
  • 12.11: Summary
  • 12.12: Practice: Linear Regression
  • 12.13: Homework
  • 12.14: Lab 1: Regression (Distance from School)
  • 12.15: Lab 2: Regression (Textbook Cost)
  • 12.16: Lab 3: Regression (Fuel Efficiency)
  
  
• Chapter 13: F Distribution and ANOVA
  • 13.1: F Distribution and ANOVA
  • 13.2: ANOVA
  • 13.3: The F Distribution and the F Ratio
  • 13.4: Facts About the F Distribution
  • 13.5: Test of Two Variances
  • 13.6: Summary
  • 13.7: Practice: ANOVA
  • 13.8: Homework
  • 13.9: Review
  • 13.10: Lab: ANOVA